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851-0763-00L 3 Credits DS D-GESS
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Supervised Research (Law, Economics, and Data Science)

This course is suitable for Master- and Doctoral Students.
VVZ CR n/a

Last Updated: 2026-06-01 11:34:02

Abstract

This is a supervised student project for 3 ECTS, supervised by the professorship of Elliott Ash (D-GESS). Students will adapt tools from econometrics and machine learning to questions in law, data science, and social science.Students must have some data science and/or statistics experience. Some programming experience in Python, Stata, or R is required.

Objective

Apply tools from data science and social science to a new project, potentially in a group, to develop a paper or app.

General Information

Language
English
Levels
DS
Frequency
Semesterly recurring

Examination

Type
graded semester performance

Registration & Places

Max Places
30

Course Components

Type Title Time & Place Hours
independent project Supervised Research (Law, Economics, and Data Science) No time listed -

Offered In